A novel probabilistic trust evaluation algorithm

Authors:
Muhammad Hanif Durad;Yuanda Cao
Affiliations:
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing, P.R. China;Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing, P.R. China
Venue:
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Year:
2006

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Abstract

Trust and reputation are being used by commercial reputation or rating systems for online trading communities over Internet. Evaluation of trust for an unknown agent in web environment is a challenging job. In this paper we propose a novel probabilistic trust evaluation algorithm (NPTEA) for computing recommendation trust by modifying parallelization algorithm [1] suggested for Bayesian social networks. In order to solve the problem a definition of trust scaling factor (TSF) has been proposed. We compare the performance of our algorithm with BBK [2] under same environment and show how it can reduce the impact of malicious agents.